Instructions to use WindstormLabs/translate-en-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-vi with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-en-vi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-vi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cc75667eedcedf00118003b86d6f7b94100b872e032afa30bb562afa5c7c14d
- Size of remote file:
- 809 kB
- SHA256:
- fdd9ab486ca8ea060967105e30db7d8928729c78a67448711d2dd7c3153b37cd
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